September 10th, 2018 | 25 mins 31 secs
big data, ci/cd, cloudbees, continuous delivery, continuous integration, data, data fabric, mapr
With CI/CD becoming more and more the defining competitive edge in the marketplace, the big question is how, exactly, does one accomplish continuous delivery? On this episode of The New Stack Makers, we sat down with Jack Norris, to talk about a big piece of that puzzle. He’s senior vice president at MapR, a company that provides a data fabric layer to the tech stack necessary for continuous delivery.
July 18th, 2018 | 28 mins 33 secs
ai, artificial intelligence, big data, data, databases, graph databases, graphdb, machine learning, neo4j
When it comes to machine learning and GraphDB, “We’re in the first inning of a nine-inning game,” said Emil Eifrem, CEO and founder of Neo4j. “If you look at machine learning algorithms, they are written in graph language, or can be expressed in graph language.”
July 2nd, 2018 | 16 mins 11 secs
application development, big data, data, developers, devops, enterprise software, microservices, microsoft, oracle, sap, software development, vexata
Data in microservice-based environments can be difficult to manage at scale. When application servers scale to near infinity, the datastores can't necessarily expand to meet that demand; they can only be optimized to keep up, and perhaps sharded. Considering just how much enterprise information is stored in some of those large systems, it's a worrying proposition to be asked by management to increase application performance when much of it is tied to an Oracle or Microsoft database.
June 25th, 2018 | 18 mins 56 secs
big data, cloud, cloud-native, data, data lakes, databases, dremio, mongodb
Data lakes are an enticing idea: pour all of a company's information--both structured and unstructured--into a single system, and then everyone can access it and analyze it on demand. It's a great idea, but in practice, actually getting that data back out of the lake and into the hands of the people who need it can be a lot more difficult than it sounds.
June 19th, 2018 | 21 mins 2 secs
big data, cloud, data, iguazio, networking, nuclio, open source, open source software, storage
Yaron Haviv, CTO and co-founder of Iguazio joins TC Currie for this episode of The New Stack Makers. Haviv’s deep technological experience in the fields of big data, cloud, storage and networking led to him leading the team creating Iguazio’s new product nuclio.
This open-source project, launched in December 2017, is an extremely fast serverless platform with a real-time processing engine. Extremely fast meaning 100x faster than AWS Lambda. “Everyone knows that the value of data diminishes over time,” said Haviv, “so that means when the data starts flowing into the system, you need to start aggregating contextualizing and acting on it as it flows.”
April 11th, 2018 | 18 mins 28 secs
data, data management, data platforms, data storage, dbas, kasten, microservices, release cycles, scalability
For microservices environments, data can be tricky. In a system where everything is designed to be highly ephemeral, scalable, and temporary, data storage doesn't fit into any of those categories. Stateful applications require stable data platforms that don't vanish when traffic goes down, or get overwhelmed when a site is overloaded.
April 5th, 2018 | 37 mins 39 secs
big data, clock speeds, compute platforms, cpu cycles, data, data processing, neural networks, real-time data processing, swim.ai
Billions of clock speeds run on an edge processor in between network packets, said Chris Sachs, founder of Swim.ai in this episode of The New Stack Makers. The capacity is seemingly timeless. The cloud isn’t meant for processing and analyzing data from nodes in real-time. The data that is processed at the edge from a node requires a fundamental different approach.
Episode 260: Dotmesh: Capturing State in Application Development and Testing Across Multiple Microservices
March 7th, 2018 | 41 mins 35 secs
big data, cloud, data, data mesh, development, devops, dotmesh, gitops, kubernetes, microservices, stateful applications, stateful services, the new stack makers, weave, weaveworks
Dotmesh gives the capability to capture the stateful parts of your application during development and testing, said CEO and Founder Luke Marsden in this episode of The New Stack Makers. By saving the state, Dot-mesh is positioning itself as a platform to do more tests earlier and decreasing the number of bugs in production.
March 1st, 2018 | 23 mins 28 secs
azure, azure databricks, azure sql database, big data, cloud, data, databases, databricks, developers, devops, microsoft, microsoft connect 2017, open source
Rohan Kumar is general manager of Database Systems Group at Microsoft. He covers SQL Server, the RBDMS and all of the Azure PaaS properties for relational databases. This includes Azure SQL database, Azure SQL Data Warehouse. It also spans out to open source-based databases including, Azure Database for MySQL, Azure Database for Postgres, Azure database for MariaDB. He also sponsored the partnership between Databricks and Microsoft.
January 11th, 2018 | 45 mins 15 secs
big data, computer science, data, data analysis, data management, data streaming, iot, mapr, netflix, programming
Autonomous cars alone create over 3-4 terabytes of data per vehicle hour. There are new businesses like Netflix creating huge volumes of data. No industry has seen this volume of data ever before. How are we going to leverage this data? What are the challenges as we slip into a data driven world? How is machine learning going to help?